def plot_data(): """Plots the data and various transformations of it.""" # Timecourse wells plt.figure() plot_all(timecourse_wells) plt.title("Raw timecourses") # NBD wells plt.figure() plot_all(nbd_wells) plt.title("NBD-Bax wells, Raw") # Lipo bg wells plt.figure() plot_all(bax_bg_wells) plt.title("Unlabeled Bax background wells, Raw") # Averages plt.figure() plot_all(timecourse_averages) plt.title("Average timecourses, all") # Background-subtracted wells plt.figure() plot_all(bgsub_wells) plt.title("Background-subtracted wells")
def plot_bg(): plt.figure() plot_all(bg_averages) plt.title('Measured background conditions') plt.figure() plot_all(bg_diff) plt.title('Calculated background conditions')
def plot(wells): (means, sds, cvs) = get_means_sds_cvs(wells) plt.figure() plot_all(wells) plt.title("20uL timecourses, raw") plt.figure() plt.hist(means, color='r') plt.title("Distribution of means for individual wells") plt.xlabel("Timecourse mean") plt.ylabel("Count") plt.figure() plt.hist(sds, color='r') plt.title("Distribution of SDs for individual wells") plt.xlabel("Timecourse standard deviation") plt.ylabel("Count") plt.figure() plt.hist(cvs, color='r') plt.title("Distribution of CVs for individual wells") plt.xlabel("Timecourse coeff. of variation") plt.ylabel("Count")
def plot_data(): """Plots the data and various transformations of it.""" # Timecourse wells plt.figure() plot_all(timecourse_wells) plt.title("Raw timecourses") # Lipo bg wells plt.figure() plot_all(lipo_bg_wells) plt.title("Lipo background wells") # Background-subtracted wells plt.figure() plot_all(bgsub_wells) plt.title("Background-subtracted wells") # Background-normalized wells plt.figure() for i, y in enumerate(data_to_fit): plt.plot(bg_time, y) plt.title("Background-normalized wells")
def plot_data(): """Plots the data and various transformations of it.""" plt.figure() plot_all(bim_bh3) plt.title('Bim BH3') plt.figure() plot_all(bid_80) plt.title('Bid 80nM') plt.figure() plot_all(bid_40) plt.title('Bid 40 nM') plt.figure() plot_all(bid_20) plt.title('Bid 20 nM') plt.figure() plot_all(bid_10) plt.title('Bid 10 nM') plt.figure() plot_all(bid_5) plt.title('Bid 5 nM') plt.figure() plot_all(bid_2) plt.title('Bid 2 nM') plt.figure() plot_all(bid_0) plt.title('Bid 0 nM')